Automated Detection of Macrobenthos in Tidal Flats Using Unmanned Aerial Vehicles and Deep Learning

被引:0
|
作者
Dong-Woo, Kim [1 ]
Seung-Woo, Son [1 ]
Sang-Hyuk, Lee [1 ]
Jeongho, Yoon [1 ]
机构
[1] Korea Environment Institute, Water and Land Research Group, Sejong-si,30147, Korea, Republic of
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:6251 / 6253
相关论文
共 50 条
  • [21] Cooperative fire detection using unmanned aerial vehicles
    Merino, L
    Caballero, F
    Martínez-De Dios, JR
    Ollero, A
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 1884 - 1889
  • [22] Detection of exposed steel rebars based on deep-learning techniques and unmanned aerial vehicles
    Santos, R.
    Ribeiro, D.
    Lopes, P.
    Cabral, R.
    Calcada, R.
    AUTOMATION IN CONSTRUCTION, 2022, 139
  • [23] Benchmarking Audio-based Deep Learning Models for Detection and Identification of Unmanned Aerial Vehicles
    Katta, Sai Srinadhu
    Nandyala, Sivaprasad
    Viegas, Eduardo Kugler
    AlMahmoud, Abdelrahman
    5TH WORKSHOP ON BENCHMARKING CYBER-PHYSICAL SYSTEMS AND INTERNET OF THINGS (CPS-IOTBENCH 2022), 2022, : 7 - 11
  • [24] Benchmarking Audio-based Deep Learning Models for Detection and Identification of Unmanned Aerial Vehicles
    Katta, Sai Srinadhu
    Nandyala, Sivaprasad
    Viegas, Eduardo Kugler
    Almahmoud, Abdelrahman
    Proceedings - 5th Workshop on Benchmarking Cyber-Physical Systems and Internet of Things, CPS-IoTBench 2022, 2022, : 7 - 11
  • [25] Automated progress monitoring of land development projects using unmanned aerial vehicles and machine learning
    Han, Jen-Yu
    Hsu, Chin-Rou
    Huang, Chun-Jia
    AUTOMATION IN CONSTRUCTION, 2024, 168
  • [26] Deep-Learning-Based Aerial Image Classification for Emergency Response Applications using Unmanned Aerial Vehicles
    Kyrkou, Christos
    Theocharides, Theocharis
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 517 - 525
  • [27] Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning
    Al-Qubaydhi, Nader
    Alenezi, Abdulrahman
    Alanazi, Turki
    Senyor, Abdulrahman
    Alanezi, Naif
    Alotaibi, Bandar
    Alotaibi, Munif
    Razaque, Abdul
    Abdelhamid, Abdelaziz A.
    Alotaibi, Aziz
    ELECTRONICS, 2022, 11 (17)
  • [28] Detection of Bottle Marine Debris Using Unmanned Aerial Vehicles and Machine Learning Techniques
    Tran, Thi Linh Chi
    Huang, Zhi-Cheng
    Tseng, Kuo-Hsin
    Chou, Ping-Hsien
    DRONES, 2022, 6 (12)
  • [29] Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles
    Kolling, Alisson Henrique
    Kich, Victor Augusto
    de Jesus, Junior Costa
    da Silva, Andressa Cavalcante
    Grando, Ricardo Bedin
    Jorge Drews-, Paulo Lilles, Jr.
    Gamarra, Daniel F. T.
    2023 LATIN AMERICAN ROBOTICS SYMPOSIUM, LARS, 2023 BRAZILIAN SYMPOSIUM ON ROBOTICS, SBR, AND 2023 WORKSHOP ON ROBOTICS IN EDUCATION, WRE, 2023, : 95 - 100
  • [30] Deep Learning for Unmanned Aerial Vehicles Landing Carrier in Different Conditions
    Zhou, Dinale
    Zhou, Jinglun
    Zhang, Maojun
    Xiang, Dao
    Zhong, Zhiwei
    2017 18TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR), 2017, : 469 - 475